Abstract:Active contour models are designed to evolve an initial curve, called
level set, to extract the desired object(s) in an image. Most approaches are based on
semi-implicit schemes which are stable for all time steps. Various models are used for
the global segmentation such as Chan-Vese (CV) model. The CV model has the global
segmentation property to segment all objects in an image. The problem with this model
is the high time computing. In order to reduce it, our contribution in this work is the
association of a semi-implicit Additive Operator Splitting (AOS) technique with the CV
model in biphase and multiphase cases. The basic idea behind AOS schemes is to
decompose a multi-dimensional problem into one-dimensional ones that can be solved
very efficiently. In this paper, we present the new association in biphase and multiphase
cases with simulations showing the efficiency of the proposed method.